v0.6.0

* Implement `ShuffleChannels`

v0.5.1

* Fix a bug where AddBackgroundNoise did not work on CUDA

* Fix a bug where symlinked audio files/folders were not found when looking for audio files
* Use torch.fft.rfft instead of the torch.rfft (deprecated in pytorch 1.7) when possible. As a
bonus, the change also improves performance in `ApplyImpulseResponse`.

v0.5.0

* Release `AddBackgroundNoise` and `ApplyImpulseResponse`

* Implement `Shift`
* Remove support for 1-dimensional and 2-dimensional audio tensors. Only 3-dimensional audio
 tensors are supported now.
* Make `sample_rate` optional. Allow specifying `sample_rate` in `__init__` instead of `forward`. This means torchaudio transforms can be used in `Compose` now.
* Fix a bug where one could not use the `parameters` method of the `nn.Module` subclass

v0.4.0

* Implement `Compose` for applying multiple transforms

* Implement utility functions `from_dict` and `from_yaml` for loading data augmentation
configurations from dict, json or yaml
* Officially support differentiability in most transforms

v0.3.0

* Transforms now return the input unchanged when they are in eval mode

* Add support for alternative modes `per_batch` and `per_channel`

v0.2.0

* Simplify API for using CUDA tensors. The device is now inferred fro…

v0.1.0

Initial release with `Gain` and `PolarityInversion`